Haifeng Yang

52 papers Journal 51Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Expert Syst. Appl.
Jianghui Cai, Cuicui Xu, Haifeng Yang, Xin Chen, Aiyu Zheng, Jing Hao, Yaling Xun, Xujun Zhao
2026 J jnl
Future Gener. Comput. Syst.
Pengjuan Liang, Yaling Xun, Jianghui Cai, Haifeng Yang
2026 J jnl
Expert Syst. Appl.
Haifeng Yang, Ran Zhang, Jianghui Cai, Jie Wang, Yupeng Wang, Yating Li, Yaling Xun, Xujun Zhao
2026 J jnl
Neurocomputing
Qin Han, Li Jin, Nan Li, Hui Shi, Xiaoyin Nie, Gang Xie, Haifeng Yang
2026 J jnl
Future Gener. Comput. Syst.
Yaling Xun, Jinlong Fan, Jifu Zhang, Haifeng Yang, Jianghui Cai, Xing Wang
2026 J jnl
Appl. Soft Comput.
Haifeng Yang, Yanchao Feng, Jianghui Cai, Jie Wang, Yating Li, Xujun Zhao, Yaling Xun
2026 J jnl
Expert Syst. Appl.
Yanting He, Haifeng Yang, Jianghui Cai, Rui Wang, Yuqing Yang, Chenhui Shi, Meihong Su, Xujun Zhao, Yaling Xun
2026 J jnl
Expert Syst. Appl.
Kai Zhang, Yaling Xun, Jianghui Cai, Haifeng Yang, Xing Wang
2026 J jnl
Appl. Soft Comput.
Yating Li, Jianghui Cai, Haifeng Yang, Jie Wang, Kai Ye
2026 J jnl
Neurocomputing
Haifeng Yang, Chenhui Shi, Yongjie Xin, Jianghui Cai, Lichan Zhou, Meihong Su, Yanting He, Xujun Zhao, Yaling Xun
2026 J jnl
Inf. Process. Manag.
Chenhui Shi, Yongjie Xin, Haifeng Yang, Jianghui Cai, Jie Wang, Lichan Zhou, Yanting He, Fuxing Cui, Xujun Zhao, Yaling Xun
2026 J jnl
Expert Syst. Appl.
Jianghui Cai, Yan Li, Haifeng Yang, Meihong Su, Yanting He, Chenhui Shi, Jiaxing Wang, Yi Chen
2026 J jnl
Ad Hoc Networks
Jinlong Fan, Yaling Xun, Xing Wang, Haifeng Yang
2025 J jnl
Appl. Soft Comput.
Bo Liang, Jianghui Cai, Haifeng Yang, Gao Jie, Yaling Xun, Yupeng Wang, Fujiang Yuan
2025 J jnl
Future Gener. Comput. Syst.
Zheqi Zhang, Yaling Xun, Haifeng Yang, Jianghui Cai
2025 J jnl
Knowl. Based Syst.
Haifeng Yang, Yi Chen, Jianghui Cai, Yuqing Yang, Lichan Zhou, Jianing Tian, Yan Li, Yaling Xun, Xujun Zhao
2025 J jnl
Neural Networks
Shuo Han, Yaling Xun, Jianghui Cai, Haifeng Yang, Yanfeng Li
2025 J jnl
Intell. Data Anal.
Yupeng Wang, Jianghui Cai, Haifeng Yang, Chenhui Shi, Min Zhang, Jie Wang, Ran Zhang, Xujun Zhao
2025 J jnl
J. Intell. Inf. Syst.
Qian Xing, Yaling Xun, Haifeng Yang, Yanfeng Li, Xing Wang
2025 J jnl
Knowl. Based Syst.
Jiaxin Dou, Yaling Xun, Haifeng Yang, Jianghui Cai, Yanfeng Li, Shuo Han
2025 J jnl
Neurocomputing
Dingyuan Liu, Yaling Xun, Haifeng Yang, Jianghui Cai, Yanfeng Li
2025 J jnl
Neurocomputing
Yaling Xun, Shuo Han, Jianghui Cai, Haifeng Yang, Jifu Zhang
2025 J jnl
CoRR
Hui Zhang, Jianghui Cai, Haifeng Yang, Ali Luo, Yuqing Yang, Xiao Kong, Zhichao Ding, Lichan Zhou, Qin Han
2025 J jnl
Intell. Data Anal.
Ziqian Ren, Yaling Xun, Jianghui Cai, Haifeng Yang
2025 J jnl
Int. J. Approx. Reason.
Haifeng Yang, Weiqi Wang, Jianghui Cai, Jie Wang, Yating Li, Yaling Xun, Xujun Zhao
2024 J jnl
CoRR
Mingxiang Fu, Yu Song, Jiameng Lv, Liang Cao, Peng Jia, Nan Li, Xiangru Li, Jifeng Liu, A-Li Luo, Bo Qiu, Shiyin Shen, Liangping Tu, Lili Wang, Shoulin Wei, Haifeng Yang, Zhenping Yi, Zhiqiang Zou
2024 J jnl
Expert Syst. Appl.
Jianghui Cai, Jing Hao, Haifeng Yang, Yuqing Yang, Xujun Zhao, Yaling Xun, Dongchao Zhang
2024 J jnl
Expert Syst. Appl.
Jianghui Cai, Min Zhang, Haifeng Yang, Yanting He, Yuqing Yang, Chenhui Shi, Xujun Zhao, Yaling Xun
2024 J jnl
Inf. Process. Manag.
Yaling Xun, Yujia Wang, Jifu Zhang, Haifeng Yang, Jianghui Cai
2023 J jnl
Neural Process. Lett.
Haifeng Yang, Juanjuan Hu, Jianghui Cai, Yupeng Wang, Xin Chen, Xujun Zhao, Lili Wang
2023 J jnl
Knowl. Inf. Syst.
Haifeng Yang, Linjing Yao, Jianghui Cai, Yupeng Wang, Xujun Zhao
2023 J jnl
Inf. Sci.
Jianghui Cai, Jing Hao, Haifeng Yang, Xujun Zhao, Yuqing Yang
2023 J jnl
Appl. Intell.
Bo Liang, Jianghui Cai, Haifeng Yang
2023 J jnl
Appl. Intell.
Haifeng Yang, Jiajia Guo, Yongjie Xin, Jianghui Cai, Min Zhang, Xujun Zhao, Yingyue Zhao, Yanting He
2022 J jnl
IEEE Access
Yuqing Yang, Jianghui Cai, Haifeng Yang, Xujun Zhao, Jing Liu
2022 J jnl
Expert Syst. Appl.
Bo Liang, Jianghui Cai, Haifeng Yang
2022 J jnl
ACM Trans. Knowl. Discov. Data
Jianghui Cai, Yuqing Yang, Haifeng Yang, Xujun Zhao, Jing Hao
2022 J jnl
Inf. Sci.
Yuqing Yang, Jianghui Cai, Haifeng Yang, Xujun Zhao
2022 J jnl
Expert Syst. Appl.
Yuqing Yang, Jianghui Cai, Haifeng Yang, Yating Li, Xujun Zhao
2022 J jnl
Inf. Sci.
Yaling Xun, Linqing Wang, Haifeng Yang, Jianghui Cai
2022 J jnl
Appl. Intell.
Xujun Zhao, Jianhua Su, Jianghui Cai, Haifeng Yang, Tingting Xi
2021 J jnl
Appl. Intell.
Yaling Xun, Qingxia Yin, Jifu Zhang, Haifeng Yang, Xiaohui Cui
2021 J jnl
Parallel Comput.
Yaling Xun, Jifu Zhang, Haifeng Yang, Xiao Qin
2020 J jnl
IEEE Access
Jianghui Cai, Huiling Wei, Haifeng Yang, Xujun Zhao
2020 J jnl
IEEE Access
Aiyu Zheng, Jianghui Cai, Haifeng Yang, Xujun Zhao
2020 J jnl
CoRR
Haifeng Yang, Caixia Qu, Jianghui Cai, Sulan Zhang, Xujun Zhao
2020 J jnl
IEEE Access
Haifeng Yang, Caixia Qu, Jianghui Cai, Sulan Zhang, Xujun Zhao
2020 J jnl
Expert Syst. Appl.
Yuqing Yang, Jianghui Cai, Haifeng Yang, Jifu Zhang, Xujun Zhao
2020 J jnl
IEEE Access
Yongxiang Zhou, Haifeng Yang, Jianghui Cai, Xujun Zhao, Yaling Xun, Caixia Qu
2019 J jnl
IEEE Access
Yating Li, Jianghui Cai, Haifeng Yang, Jifu Zhang, Xujun Zhao
2019 J jnl
IEEE Access
Caixia Qu, Haifeng Yang, Jianghui Cai, Jifu Zhang, Yongxiang Zhou
2010 conf
CASoN
Haifeng Yang, Zhihai Xu, Jifu Zhang, Jianghui Cai
redb/extractors/pe_extractors/pe_extra_findings.py
← Index redb/extractors/pe_extractors/pe_extra_findings.py python
from hashlib import md5, sha1, sha256
import inspect
import pefile
from magika import Magika
import json
from datetime import datetime, timezone
from typing import List, Optional, Any
from asn1crypto import cms, pem, x509, core
from dataclasses import asdict

from redb.extractors.enum import Tag
from redb.extractors.pe_extractor import PEExtractor
from redb.models.dataclasses import PEExtraFinding, PECertificate


class PEExtraFindings(PEExtractor):

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        elastic_index=None,
        known_benign=False,
        known_malicious=False,
        pe=None,
    ):
        super().__init__(
            filepath,
            log,
            exporters,
            index_prefix,
            elastic_index,
            known_benign,
            known_malicious,
            pe,
        )
        self.elastic_index = self.index_prefix + "-pe_extrafindings"
        self.log.debug(inspect.currentframe().f_code.co_name)
        self.has_binary_overlay = False
        self.has_binary_resource = False
        self.findings = []

    def tag(self):
        return Tag.PE_EMBEDDED_EXTRAS.value

    """
    The section below triggers in case of a binary which is not signed.
    It trigger the scan for Certificates inside the binary, for example
    inside a resource or an overlay.
    """

    def _scan_for_certificates(self):
        """
        Comprehensive scan for certificate data in PE file.
        Returns list of tuples (location_description, certificate_data)
        """
        self.log.debug(inspect.currentframe().f_code.co_name)

        # 1. Scan resources for embedded PE files
        self._scan_resources_for_certificates()

        # 3. Scan overlay
        overlay_data = self.pe.get_overlay()
        if overlay_data:
            self._scan_overlay_for_certificates(overlay_data)


    def _extract_certificate_info(self, cert_data):
        self.log.debug(inspect.currentframe().f_code.co_name)

        certificate = x509.Certificate.load(cert_data)
        certificate_serial_number = format(certificate.serial_number, "x").upper()
        grouped_serial_number = ":".join(
            [
                certificate_serial_number[i : i + 2]
                for i in range(0, len(certificate_serial_number), 2)
            ]
        )
        return PECertificate(
            certificate_serial_number=grouped_serial_number,
            certificate_issuer=certificate.issuer.human_friendly,
            certificate_subject=certificate.subject.human_friendly,
            certificate_valid_from=certificate["tbs_certificate"]["validity"][
                "not_before"
            ].native.strftime("%Y-%m-%d %H:%M:%S"),
            certificate_valid_to=certificate["tbs_certificate"]["validity"][
                "not_after"
            ].native.strftime("%Y-%m-%d %H:%M:%S"),
            certificate_thumbprint=sha1(cert_data).hexdigest().upper(),
            certificate_algorithm=None,
        )

    def _extract_standard_certificates(self, pe):
        self.log.debug(inspect.currentframe().f_code.co_name)
        address = pe.OPTIONAL_HEADER.DATA_DIRECTORY[
            pefile.DIRECTORY_ENTRY["IMAGE_DIRECTORY_ENTRY_SECURITY"]
        ].VirtualAddress
        size = pe.OPTIONAL_HEADER.DATA_DIRECTORY[
            pefile.DIRECTORY_ENTRY["IMAGE_DIRECTORY_ENTRY_SECURITY"]
        ].Size

        addr_8 = address + 8
        signature_data = bytes(
            pe.write()[addr_8 : addr_8 + size]  # noqa E203
        )  # Ensure this is a bytes object
        if pem.detect(signature_data):
            signature_data = pem.unarmor(signature_data)

        content_info = cms.ContentInfo.load(signature_data)
        signed_data = content_info["content"]
        certificates = signed_data["certificates"]

        certificates_list = []
        for cert in certificates:
            cert_info = self._extract_certificate_info(cert.chosen.dump())
            certificates_list.append(cert_info)

        return certificates_list

    def _is_signed(self, pedata):
        address = pedata.OPTIONAL_HEADER.DATA_DIRECTORY[
            pefile.DIRECTORY_ENTRY["IMAGE_DIRECTORY_ENTRY_SECURITY"]
        ].VirtualAddress
        if address == 0:
            return False
        return True

    def _scan_resources_for_certificates(self):
        """Scan resources for embedded PE files and their certificates"""
        self.log.debug(inspect.currentframe().f_code.co_name)

        try:
            if hasattr(self.pe, "DIRECTORY_ENTRY_RESOURCE"):
                for entry in self.pe.DIRECTORY_ENTRY_RESOURCE.entries:
                    for resource in self._get_resource_data(entry):
                        # Check if resource data might be a PE file
                        resource_magika = Magika().identify_bytes(resource).output.label
                        if resource.startswith(b"MZ") or resource_magika == "pebin":
                            try:
                                embedded_pe = pefile.PE(data=resource)
                                if self._is_signed(embedded_pe):
                                    cert_data = self._extract_standard_certificates(
                                        embedded_pe
                                    )
                                    if cert_data:
                                        # certificates.append(
                                        #     (f"Resource_{entry.id}", cert_data)
                                        # )
                                        self.findings.append(
                                            PEExtraFinding(
                                                context=f"Resource ({sha256(resource).hexdigest()}) is a PE file. Found Code Signing Certificates information inside.",
                                                finding=cert_data,
                                            )
                                        )
                            except Exception as e:
                                self.log.warning(
                                    f"Resource {sha256(resource).hexdigest()} is not a valid PE: {e}"
                                )

                        # Direct certificate pattern matching in resource
                        cert_data = self._find_certificate_patterns(resource)
                        if cert_data:
                            # certificates.append((f"Resource_{entry.id}", cert_data))
                            self.findings.append(
                                PEExtraFinding(
                                    context=f"Resource ({sha256(resource).hexdigest()}) is a PE file.\
                                    Found Code Signing Certificates information inside.",
                                    finding=cert_data,
                                )
                            )

        except Exception as e:
            self.log.error(f"Failed to scan resources: {e}")


    def _scan_overlay_for_certificates(self, overlay_data) -> List[bytes]:
        """Scan PE overlay for certificate data"""
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            # Check if overlay is a PE file
            overlay_magika = Magika().identify_bytes(overlay_data).output.ct_label
            if overlay_data.startswith(b"MZ") or overlay_magika == "pebin":
                try:
                    overlay_pe = pefile.PE(data=overlay_data)
                    if self._is_signed(overlay_pe):
                        cert_data = self._extract_standard_certificates(overlay_data)
                        if cert_data:
                            self.findings.append(
                                PEExtraFinding(
                                    context=f"Overlay data ({sha256(overlay_data).hexdigest()}) is a PE file.\
                                    Found Code Signing Certificates information inside.",
                                    finding=cert_data,
                                )
                            )
                except Exception as e:
                    self.log.warning(f"Error looking for certificates in Overlay: {e}")
                    pass

            # Direct certificate pattern matching in overlay
            cert_data = self._find_certificate_patterns(overlay_data)
            if cert_data:
                self.findings.append(
                    PEExtraFinding(
                        context=f"Overlay data ({sha256(overlay_data).hexdigest()}) is a PE file.\
                        Found Code Signing Certificates information inside.",
                        finding=cert_data,
                    )
                )
        except Exception as e:
            self.log.error(f"Failed to scan overlay: {e}")


    def _get_resource_data(self, entry) -> List[bytes]:
        """Recursively get resource data"""
        resources = []
        try:
            if hasattr(entry, "directory"):
                for subentry in entry.directory.entries:
                    resources.extend(self._get_resource_data(subentry))
            else:
                data = self.pe.get_data(
                    entry.data.struct.OffsetToData, entry.data.struct.Size
                )
                resources.append(data)
        except Exception as e:
            self.log.error(f"Failed to get resource data: {e}")
        return resources

    def _find_certificate_patterns(self, data: bytes) -> Optional[bytes]:
        """Find certificate patterns in binary data"""
        # PKCS#7 SignedData OID pattern
        PKCS7_PATTERN = b"\x06\x09\x2A\x86\x48\x86\xF7\x0D\x01\x07\x02"

        try:
            idx = data.find(PKCS7_PATTERN)
            if idx != -1:
                # Search backwards for ASN.1 sequence marker
                for i in range(idx, max(0, idx - 50), -1):
                    if data[i] == 0x30:  # ASN.1 SEQUENCE
                        try:
                            # Try to parse as X.509 certificate
                            cert = x509.load_der_x509_certificate(
                                data[i:], default_backend()
                            )
                            return data[i:]
                        except Exception:
                            continue
        except Exception as e:
            self.log.error(f"Failed to find certificate patterns: {e}")
        return None

    def prepare_export_data(self, exporter_type: str) -> Any:
        self.log.debug(inspect.currentframe().f_code.co_name)
        if exporter_type == "ElasticsearchExporter":
            return self.findings
        elif exporter_type == "ClickHouseExporter":
            current_time = datetime.now(timezone.utc)
            
            data = [
                [
                    self.sha256,
                    self.md5,
                    self.sha1,
                    finding.context,
                    [asdict(cert) for cert in finding.finding] if finding.finding else None,
                    current_time
                ]
                for finding in self.findings
            ]
            
            column_names = [
                'sha256', 'md5', 'sha1', 'context', 'finding', 'analysis_date'
            ]
            
            if not data:
                return None

            column_type_names = [
                'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                'String', 'Array(JSON)', 'DateTime64(3, \'UTC\')'
            ]

            return (data, column_names, column_type_names)

    def get_clickhouse_table(self) -> str:
        return "redb_extra_findings"

    def extract(self):
        try:
            self.log.debug(inspect.currentframe().f_code.co_name)
            self._scan_for_certificates()
            if len(self.findings) > 0:
                return self.findings
            return None
        except Exception as e:
            self.log.error(f"Error extracting PE Extras: {e}")
            return None